Triple
T9440822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
|
E877093
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wehringen | Statement: [Augsburg district, contains, Wehringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wehringen Context triple: [Augsburg district, contains, Wehringen]
-
A.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
B.
Ringelheim
Ringelheim is a historic locality in present-day Germany, known as the birthplace of the early medieval noblewoman and later saint Matilda of Ringelheim.
-
C.
Dornheim
Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
-
D.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
E.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wehringen Triple: [Augsburg district, contains, Wehringen]
Generated description
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wehringen Target entity description: Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
A.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
B.
Ringelheim
Ringelheim is a historic locality in present-day Germany, known as the birthplace of the early medieval noblewoman and later saint Matilda of Ringelheim.
-
C.
Dornheim
Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
-
D.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
E.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d979c21f5481908bea7fd2c70d2c0b |
completed | April 10, 2026, 10:29 p.m. |
| NEDg | Description generation | batch_69d97c7bc87481908d50eb6f294170eb |
completed | April 10, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: March 30, 2026, 7:50 p.m.